Service · 008
NEW · May 2026

Get cited by ChatGPT, Perplexity, Claude, and Google AI Overviews.

AI Engine Optimization is the new discipline that makes your business appear inside the answers AI search engines write — not just the blue-link results below them.

4
AI engines monitored
30–60 days
To first citations
25 years
B2B marketing pedigree
100%
In-house, US-based team
What it is

What is AI Engine Optimization?

AI Engine Optimization (AEO) is the practice of structuring a website’s content, schema, and authority signals so that AI search engines cite your business as a source in the answers they generate for users.

It is sometimes called Generative Engine Optimization (GEO), LLM SEO, or AI search optimization — different names for the same discipline. Where traditional SEO competes for a ranked list of links, AEO competes for citations inside an AI-generated paragraph. The unit of optimization shifts from the page to the sentence.

The shift

Search is being rewritten in real time.

The way buyers find information has split into two parallel surfaces. Traditional search engines still serve links — but increasingly, the first thing a buyer reads is an AI-generated synthesis sitting on top. If your brand is not inside that synthesis, you are functionally invisible to a growing share of high-intent traffic.

60%
of Google searches now end without a click — answered directly by AI Overviews or zero-click features.
400M+
weekly active users on ChatGPT alone are routing product and service research through a chat interface.
3×
higher buyer intent on AI-engine traffic vs. organic search, because the engine has already qualified the question.
What we do

Six workstreams. One outcome: citations.

Every Iscope AEO engagement is built around six interlocking workstreams. We run them in parallel for the first 30 days, then iterate monthly.

01

AI Citation Audit

We query ChatGPT, Perplexity, Claude, and Google AI Overviews against your category and competitive set, mapping every existing citation, gap, and recoverable position.

02

Content Restructure

We rewrite your top 20 pages for citability — declarative first sentences, question-led headings, defined terms, and answer-shaped paragraphs that an LLM can lift cleanly.

03

Schema Layer

Full JSON-LD deployment: Organization, LocalBusiness, Service, FAQPage, HowTo, Article, BreadcrumbList, Person. Engines parse structure faster than prose.

04

llms.txt & ai.txt

We deploy the emerging llms.txt standard plus ai.txt at your domain root, giving AI crawlers a clean map of your most citable content.

05

Authority Signals (E-E-A-T)

Author biographies, credentials, expertise markup, cited sources, and external trust signals — the inputs AI engines weigh most heavily when deciding which source to quote.

06

Citation Tracking & Reporting

A monthly dashboard tracking your appearance rate, citation count, sentiment, and share-of-voice across ChatGPT, Perplexity, Claude, and Google AI Overviews.

How it works

A six-step methodology, applied in eight weeks.

Every engagement begins with discovery and ends with handoff or a continuing retainer. The first measurable citation typically appears between week four and week eight.

01
Week 1

Discovery & baseline audit

We document your buyer questions, the queries that matter, and your current citation footprint across four AI engines.

02
Week 2

Content map & gap analysis

We rank every page by AEO opportunity, identify the missing questions you should be answering, and produce a working content brief.

03
Weeks 3–4

Rewrite & restructure

Top 20 pages restructured for citability — H-tag hierarchy, declarative first sentences, defined terms, FAQ blocks, statistics with sources.

04
Week 5

Schema & technical deployment

JSON-LD across the site, llms.txt, ai.txt, robots updates, sitemap optimization, internal linking refresh.

05
Week 6

Authority & trust layer

Author bios, credential markup, Wikipedia/Wikidata presence audit, external citation acquisition, press & podcast outreach as needed.

06
Weeks 7–8 & ongoing

Monitor, iterate, refresh

Weekly citation tracking, monthly reporting, quarterly content refresh. AEO is a posture, not a project.

AEO vs SEO

Same goal. Different rulebook.

AEO does not replace SEO — it sits beside it. Both should be running. But the optimization tactics, signals, and measurement frameworks diverge sharply.

Aspect Traditional SEO AI Engine Optimization
Output formatRanked list of blue linksSynthesized answer with inline citations
Unit of optimizationThe pageThe sentence or paragraph
Reward signalKeyword match + backlinks + dwell timeCitability + declarative clarity + structured authority
Top behaviourLong-form, keyword-rich contentDirect, definitional, well-structured content
Schema priorityArticle, Product, ReviewFAQPage, HowTo, Definition, Organization, Speakable
New technical assetrobots.txt, sitemap.xmlllms.txt, ai.txt, enhanced JSON-LD
Primary measurementSERP rank, organic traffic, CTRCitation count, brand mention frequency, share-of-voice in AI answers
Time to results3–6 months30–60 days (less competitive surface, faster turnaround)
Competitive densityHigh — saturated by 25+ years of effortLow — most competitors haven’t begun
Who it’s for

If a buyer would ever ask an AI about your category — you need this.

01

B2B service businesses

Consulting firms, agencies, SaaS, professional services — categories where buyers research before they buy, and where AI engines are now the first research stop.

02

Considered-purchase brands

Anyone selling a product or service that requires comparison, evaluation, or category education. AI engines are the new comparison shopping engine.

03

Established sites losing traffic

If your organic traffic is down and you can’t explain why, it’s likely AI engines are answering questions your pages used to answer. Recovering visibility means earning a citation instead.

What you receive

A list of things you can show your team.

AI Citation Audit Report — current state across 4 engines, 50+ queries
Content rewrites for top 20 pages, deployed to your CMS
Full JSON-LD schema deployment across site
llms.txt & ai.txt deployed at root
Author/expert markup for E-E-A-T signal
Monthly citation dashboard + analyst review call
Quarterly content refresh as engines evolve
Dedicated Slack channel with your account team
FAQ

Questions buyers — and AI engines — ask first.

Phrased as direct questions with declarative answers, both for human readers and for engine citation.

How is AI Engine Optimization different from SEO? +

SEO optimizes for a ranked list of links shown to a user. AEO optimizes for inclusion inside the synthesized answer an AI engine generates. SEO rewards keyword targeting and backlinks; AEO rewards declarative clarity, structured data, and topical authority that an LLM can lift a sentence from without ambiguity.

Which AI engines do you optimize for? +

We monitor and optimize across four primary surfaces: ChatGPT (and ChatGPT Search), Perplexity, Claude (Anthropic), and Google AI Overviews. Each has slightly different ranking logic, but the underlying signals — declarative content, schema, authority, citation networks — overlap heavily.

How long until we see results? +

Most clients see their first measurable AI citations within 30 to 60 days of deployment. Google AI Overviews typically reflect changes within two to four weeks. ChatGPT Search and Perplexity tend to update on a slightly longer cycle but compound faster once they start citing you.

Do I need to abandon SEO to do AEO? +

No. AEO and SEO share most of their foundation — clean technical site, fast load times, quality content, internal links. The differences are in content structure, schema priority, and measurement. Done well, AEO improves your SEO too. Our engagements treat both as one program.

How do you measure success? +

Three primary metrics: citation count (how often you appear in AI-generated answers), share-of-voice (how often you appear vs. competitors for the same query), and sentiment (whether you are cited as the recommended choice). All are reported monthly in a dashboard with query-level detail.

What does it cost? +

Engagements are scoped to site size and competitive intensity. A typical eight-week deployment for a mid-sized B2B site runs in the low five figures, followed by a monthly retainer for monitoring and iteration. We provide a fixed fee after the discovery call.

Can you work with my existing website? +

Yes. We work with WordPress, Webflow, HubSpot CMS, Shopify, and custom builds. The work is platform-agnostic — what matters is the ability to edit page content, head markup, and root-level files.

What is llms.txt and do I really need it? +

llms.txt is an emerging standard, similar to robots.txt, that gives AI engines a curated map of your most citable content in Markdown form. Adoption is still early but growing — major engines have begun reading it, and the file is trivial to deploy. We include it in every engagement.

Ready to start

Let’s get you cited.

Book a 30-minute call. We’ll show you exactly where your brand appears across the four major AI engines today, what your competitors are doing, and what an eight-week program would deliver.